This article briefs about the impact of spam and how it can be addressed with emerging machine-learning technology based on our journey in this domain.

Natural Language Processing (NLP) and Machine Translation have emerged as indispensable tools in our increasingly interconnected world.

This presentation from Hilary Mason at devs love bacon in April, titled "Everything You Need to know about Machine Learning in 30 Minutes or Less," is an introduction to machine learning for those who have no prior experience with it. Take a look if you're interested in a quick, fun overview to help you get started: Hilary Mason - Machine Learning for Hackers from BACON: things developers love on Vimeo. Then, if you want to get a bit deeper, check out this intro to machine learning in R, or to get a lot deeper, our Machine Learning Refcard.

Learn about overfitting and generalization, and how they relate to the bias-variance tradeoff in machine learning. We’ll also cover techniques for finding the optimal balance between bias and variance in deep learning models.

A guide to developing a text-to-speech converter.

Learn how cloud-native JuiceFS empowers quantitative hedge funds to enhance AI training and achieve elastic throughput in the cloud.

AI can enhance software development by improving developer experience, increasing productivity, encouraging innovation, and driving growth.

Along with MES, SCADA is today’s most widely used system in manufacturing facilities. So why does an industrial IoT platform still make sense here?

In the tech world, the Metaverse's allure has dimmed, while generative AI, particularly LLMs, is now in the spotlight. Explore why this shift occurred.

You may want to think twice before jumping on the AI hype train for your OKRs. Security concerns and algorithmic bias can cause your OKRs to cause more harm than good.

Text classification is a machine learning subfield that teaches computers how to classify text into different categories. In this tutorial, we will use BERT to develop your own text classification model.

Explainable AI (XAI) has been gaining popularity among tech enthusiasts, data scientists, and software engineers in a world where AI is becoming more prevalent.

AI is going to eat all your jobs!!! Haha. No, just kidding. It will have only the non-productive ones. It’s time to work smarter, not harder.

A prompt engineering guide covering the basics, services to enhance your prompts, and how to use ChatGPT to generate prompts. (Yub, that works, too.)

We tested GPT3.5-turbo against GPT4 in our website chatbot, and here are the results. TL-DR? GPT4 is better but not worth it.

Don't fall behind in the AI revolution of software engineering. Our list of the six best AI tools for CTOs will keep you ahead of the game.

This article offers a hands-on journey through the world of AI image restoration and clean-up with CodeFormer and Node.js.

In this interview, QA-lead Lewis Prescott talks about the challenges of QA for apps used by non-tech-savvy people and more.

As the use of MQTT in IoT is growing tremendously, we can anticipate seven developing trends in MQTT technology.

Building your question-answering model might seem like it could be more manageable. This tutorial will walk you through step by step to get it done.